You don’t need to be a tech expert to recognize when something doesn’t look right. In Richmond-area hospitals and clinics, AI or automation may show up in the record in ways patients notice later, such as:
- Generated or summarized chart notes that don’t align with what you remember from surgery day
- Imaging or pathology reports that reference automated reads or decision-support workflows
- Pre-op planning outputs that appear to have been relied on without clear human verification
- Inconsistent timestamps or documentation that makes it hard to reconstruct what was actually reviewed
If you’re thinking, “I don’t know what part was wrong—but the paperwork doesn’t match the care,” you’re not alone. That mismatch is often where a careful legal review begins.


